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Sena shows housing demand beyond the listings

Sena Decision AI shows housing teams what residents pay, what they would pay to rent, buy, or build, and where new homes are going up. Every figure traces to a resident answer, a site photo, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample informal real estate
Rent residents pay
86
A month for one room
Price residents would pay to own
9,400
For a two-room home
Active building sites by stage
142
44 with walls rising
Households ready to move
2,673
11% at the planned price
every figure opens a resident answer or dated site photo
BEYOND THE LISTINGS

Informal housing moves outside the listings

Informal housing is rented, bought, and built through local agents, small builders, and family. Listings and registries show the formal slice, so housing data for the rest comes from residents and the sites a question names.

Listings show the formal slice

Listing sites and registries track the homes that are filed. Rents and prices in the informal sector are agreed person to person.

Sena:Sena captures what residents pay in rent, what they would pay to own, and how they would finance it, by segment and market.

Homes grow room by room

Incremental housing adds a room, a floor, or a roof as money allows. Each step creates demand for materials, finance, and services.

Sena:Sena captures geo-verified photos of sites showing building activity in the areas a question names, with the stage and scale of each.

Demand shifts area by area

Housing demand moves with jobs, transport, and family size. City-wide figures blur those moves.

Sena:Sena captures where residents plan to move, rent, or build next, and why, in each market.

The decisions

Four decisions housing teams make

Sena settles these four decisions on informal housing from resident answers and site photos.

Decision 01

Size rental and ownership demand

Residents state what they pay, what they would pay to rent or own, and which home they would choose next, by segment and market.

Decides:Which areas, unit sizes, and price points to build for first.

See strategy decisions →
Decision 02

Spot building activity before any filing

Sena captures geo-verified photos of sites showing clearing, staking, excavation, or a structure rising in the areas a question names, and reads the stage and scale of each.

Decides:Where materials, finance, and services teams focus first.

See construction project leads before the filing →
Decision 03

Price affordable housing finance on stated incomes

Residents state how they earn, what they could repay each month, and how they pay for a room, a roof, or a deposit today, market by market.

Decides:Which loan sizes and terms keep housing affordability in reach for each segment.

See product decisions →
Decision 04

Find what residents want from a home

Residents state which features matter most, from water and power to security and transport, and what they would trade for them.

Decides:Which features and services go into the next build or upgrade offer.

See innovation decisions →
HOW A TEAM CHECKS EACH FIGURE

Each housing figure starts with a resident

Sena ties every figure to the answer or photo behind it, so a team checks each one against the housing data it already holds.

Consented input, checked before it counts

Each answer comes from a resident who chose to share it. Every capture clears a multi-level QA flow. Sena declines a capture that misses the check, and the decline stays visible.

A geo-verified photo per site

Each site reading carries its photo, location, and date. A site counts as active once a photo confirms it.

DEMAND IN REACH

Count the households ready to move

Housing demand starts with two counts: the households in the target area and the share who would rent or buy at the planned price. The team enters both and checks that share against resident answers.

  • The share ready to rent or buy
  • The price and unit size each segment names
  • Revenue in reach, from the team's own monthly rent or repayment per unit
Demand in reach calculatorExample figures
Not yetIn reach
Households ready to move
2,673
Monthly revenue in reach
229,878

The demand in reach calculator shows the households ready to move and the monthly revenue in reach.

A walkthrough on one area

A walkthrough runs Sena on one area in one market, from resident answer to the build decision.

By team

Which housing team owns the question?

Pick the closest fit, and the walkthrough starts from that team's question.

How it works

How Sena answers a market question

Step 01 · Capture

Capture

Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.

Step 02 · Read

Read

Sena reads those captures beside the files and systems already in use, across 250+ integrations.

Step 03 · Compare

Compare

Sena compares the market against the plan and shows each gap, with every figure traced to its source.

TWO WAYS TO READ HOUSING

How resident answers extend housing data

AreaCommon methodSena
Rents and pricesListings and agent quotesResidents state what they pay and would pay
DemandCensus counts and city-wide housing demand estimatesWhere residents plan to move, rent, or build
Building activityPermit filingsGeo-verified photos of active sites, with stage and scale
FinanceCredit files and formal payslipsHow residents earn and what they could repay
AuditingAgent, registry, and site reports matched by handEach housing figure links to its resident answer or site photo

One area, one market, one decision

Talk to the Rwazi team about one area, one market, and the decision on the table this quarter.

FAQ

Questions housing teams ask

01 What is informal housing?
Informal housing is housing built, rented, or sold outside formal permits, titles, and listings, often extended room by room. Sena, a Decision AI with access to real-world data, brings decision intelligence to housing teams by adding consented resident input and geo-verified site photos to the data a team holds, so each figure traces to the answer or photo behind it.
02 What are informal settlements?
Informal settlements are neighborhoods where most homes are built and traded outside formal title and planning. Informal housing in these areas is rented, bought, and extended through local agents and family, and Sena captures what residents pay and plan next, by segment and market.
03 What is informal urbanism?
Informal urbanism describes how cities grow through self-built homes, local markets, and services that residents organize themselves. Incremental housing is one common form, and Sena captures what residents plan to build next and how they will fund it, room by room and year by year.
04 How does housing connect to the informal economy?
The informal economy shapes how residents earn, save, and pay rent. Small builders and local agents in the informal sector build, rent out, and sell homes. Sena captures how residents earn and pay for housing, from monthly rent to building materials.
05 How do teams read the rental housing market where listings are thin?
Teams read the rental housing market in these areas from tenants, since rents move through agents, landlords, and word of mouth. Sena captures what tenants pay, what they would pay to move, and what they want from a home, so rental demand comes from tenants themselves.
06 How do affordable housing developers size demand?
Affordable housing developers size demand from what households earn and what they would pay for each unit size and location. Sena captures both from consented resident answers, so the team tests housing affordability against its own price per unit before land or financing is committed.
07 Which systems does Sena connect to for housing teams?
Sena connects to the systems housing teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Resident answers and site photos join that data, so one answer covers the team's own figures and the reasons residents give.